Furthermore, to assess whether the results of the BDVE dataset (shown in the next section) are related to cognitive/visual information in the EEG signals rather than other factors that could be used by a classifier, (e.g., EEG drift, temporal correlation, current phase, etc.), we also use a variant of this dataset by modifying the class labels as proposed by [1]}. Rather than using the actual class label for each stimulus (i.e., image), labels were assigned to each stimulus based on the corresponding temporal order in the sequence (the block order) during the recording protocol.
This procedure replicates [1]}'s effort to demonstrate temporal correlation bias in [3]}, but our results show a very different pattern of classification accuracy.
